Abstract: Spatial interpolation of climate data is frequently required to provide input regional agricultural climate resource assessment.In this paper,based on regression analysis combined spatial grid interpolation,the spatial interpolation methods of Inverse distance weight(IDW),Kriging,Spline and combined method are utilized for the comparison study on spatial interpolation of year mean air temperatures from 1971 to 2000 in the anhui province.Based on the mean absolute errors(MAE) and Root Mean Squared Interpolation Error (RMSIE) from cross-validation tests,the methods were ranked as IDW<Kriging<Spline for interpolating mean temperatures.On the whole,IDW gives lowest errors.